The aim of this subject is to introduce selected advanced control techniques such as adaptive linear quadratic control, predictive control, and approximate dynamic programming (including neuro-control and reinforcement learning) as tools for
design of optimal control strategy. Some of these techniques are well established in other fields but their application in electrical engineering is just at the beginning. The methods will be explained on simple tutorial problems and further
developed according to the focus of each student.

The aim of this subject is to teach theory and application of statistical tools that can be used to estimate systems with
unknown parameters, unknown state of structure. The basic model to study is linear regression, which is the basis of the least
squares method, however it can be used to model more advanced tasks such as structure estimation.